Triple
T4463928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margrete |
E98326
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Grete |
E163883
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Grete | Statement: [Margrete, hasShortForm, Grete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grete Context triple: [Margrete, hasShortForm, Grete]
-
A.
Grete
chosen
Grete is the given name of Grete Hermann, a German mathematician and philosopher known for her pioneering work in the foundations of quantum mechanics and computer algebra.
-
B.
Liesl
Liesl is a feminine given name, commonly used as a diminutive of names like Elisabeth in German-speaking regions.
-
C.
Werna Gerhardsen
Werna Gerhardsen was a Norwegian politician and Labour Party activist, best known as the influential wife and political partner of long-serving prime minister Einar Gerhardsen.
-
D.
Annelies
Annelies is the given first name of Anne Frank, the Jewish diarist whose writings from hiding during the Holocaust became world-famous.
-
E.
Astrid
Astrid is a Belgian princess and member of the country’s royal family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567913788190ac4f28fbe63a4fa9 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6376c8e74819087aa2ff3e4429674 |
completed | March 15, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:34 p.m.